| Predictive Modeling of the Hospital Readmission Risk from Patients' Claims Data Using Machine Learning: A Case Study on COPD. X Min, Y Bin, F Wang Scientific Reports 9 (1), 2362, 2019 | 183 | 2019 |
| Chromatin accessibility prediction via convolutional long short-term memory networks with k-mer embedding X Min, W Zeng, N Chen, T Chen, R Jiang Bioinformatics 33 (14), i92-i101, 2017 | 119 | 2017 |
| Predicting enhancers with deep convolutional neural networks X Min, W Zeng, S Chen, N Chen, T Chen, R Jiang BMC bioinformatics 18, 35-46, 2017 | 105 | 2017 |
| DeepEnhancer: Predicting enhancers by convolutional neural networks X Min, N Chen, T Chen, R Jiang 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2016 | 48 | 2016 |
| Patient outcome prediction via convolutional neural networks based on multi-granularity medical concept embedding Y Feng, X Min, N Chen, H Chen, X Xie, H Wang, T Chen 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2017 | 41 | 2017 |
| EnDisease: a manually curated database for enhancer-disease associations W Zeng, X Min, R Jiang Database 2019, baz020, 2019 | 19 | 2019 |
| SAMD: An Industrial Framework for Heterogeneous Multi-Scenario Recommendation Z Huan, A Li, X Zhang, X Min, J Yang, Y He, J Zhou Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 9 | 2023 |
| Blending knowledge in deep recurrent networks for adverse event prediction at hospital discharge P Chakraborty, J Codella, P Madan, Y Li, H Huang, Y Park, C Yan, ... AMIA Summits on Translational Science Proceedings 2021, 132, 2021 | 5 | 2021 |
| Multi-view ensemble classification for clinically actionable genetic mutations X Zhang, D Chen, Y Zhu, C Che, C Su, S Zhao, X Min, F Wang The NIPS'17 Competition: Building Intelligent Systems, 79-99, 2018 | 4 | 2018 |
| Dynamic knowledge distillation for black-box hypothesis transfer learning Y Yu, X Min, S Zhao, J Mei, F Wang, D Li, K Ng, S Li arXiv preprint arXiv:2007.12355, 2020 | 3 | 2020 |
| Real-time object tracking via optimal feature subspace X Min, Y Zhou, S Liu, X Bai 2014 IEEE International Conference on Image Processing (ICIP), 421-425, 2014 | 3 | 2014 |
| Aligned Side Information Fusion Method for Sequential Recommendation S Wang, B Shen, X Min, Y He, X Zhang, L Zhang, J Zhou, L Mo Companion Proceedings of the ACM on Web Conference 2024, 112-120, 2024 | 2 | 2024 |
| Uncertainty-based Heterogeneous Privileged Knowledge Distillation for Recommendation System A Li, J Hu, K Ding, X Zhang, J Zhou, Y He, X Min Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 2 | 2023 |
| Embracing disease progression with a learning system for real world evidence discovery Z Tang, L Hu, X Min, Y Zhang, J Mei, K Ng, S Li, P Hu, Z You Intelligent Computing Theories and Application: 16th International …, 2020 | 2 | 2020 |
| Medical visual question answering Y Zhou, J Mei, S Zhao, YQ Yu, X Min, YF Wang US Patent 11,901,047, 2024 | 1 | 2024 |
| SeqGen: A Sequence Generator via User Side Information for Behavior Sparsity in Recommendation X Min, X Zhang, B Shen, S Wang, Y He, C Li, J Zhou Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 1 | 2023 |
| AntMC: A Large Scale Dataset For Multi-Scenario Multi-Modal CTR Prediction Z Huan, K Ding, A Li, X Zhang, X Min, Y He, L Zhang, J Zhou, L Mo, J Gu, ... arXiv preprint arXiv:2308.16437, 2023 | 1 | 2023 |
| Supervised vae for optimization of value function and generation of desired data X Min, J Mei, Y Zhang, ZF Tang US Patent App. 17/148,132, 2022 | 1 | 2022 |
| Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset Z Huan, K Ding, A Li, X Zhang, X Min, Y He, L Zhang, J Zhou, L Mo, J Gu, ... Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | | 2024 |
| Electronic health record data synthesization X Min, YQ Yu, J Mei, Y Zhou, SC Li US Patent 12,014,293, 2024 | | 2024 |
Ning ChenAssistant Researcher, Tsinghua UniversityVerified email at tsinghua.edu.cn
